Abstract
Several studies have investigated clinical, psychological, and patient characteristic variables associated with post-total knee arthroplasty pain; of those studies, many have cited pain catastrophizing as a potential predictor of postsurgical pain. The aim of this study was to quantify the effect pain catastrophizing has on post-TKA pain via a meta-analysis of related studies published 2013-2017. Nine articles involving 1,077 patients were selected based on requirements of pre-surgical catastrophizing measure and post-surgical pain measure, data reporting, and surgery type. Reported measures for all included studies were used to calculate effect size for pain catastrophizing as a predictor of post-TKA pain. Moderators of pain and pain catastrophizing were separated to determine if significance was influenced by type of catastrophizing or pain measure; type of catastrophizing measure included the Pain Catastrophizing Scale and Coping Strategies Questionnaire, and pain measures included the WOMAC pain scale, Brief Pain Inventory, and 5-m walk test. Pain as a function of BMI, age, and pre-surgical pain was also investigated. The meta-analysis concluded that pain catastrophizing is a significant predictor of post-TKA pain. BMI, age, and pre-surgical pain are all significant predictors of pain, as well. Mindfulness-Based Stress Reduction is explored as a clinical technique for resolving pain catastrophizing to potentially diminish pain following TKA. Future studies should investigate pain catastrophizing as a predictor of postsurgical pain for additional surgery types.
Semester/Year of Award
Spring 2018
Mentor
Matthew P. Winslow
Mentor Professional Affiliation
Psychology
Access Options
Restricted Access Thesis
Document Type
Bachelor Thesis
Degree Name
Honors Scholars
Degree Level
Bachelor's
Department
Chemistry
Recommended Citation
Day, Savannah D., "Pain Catastrophizing as a Predictor of Post-Total Knee Arthroplasty Pain: A Meta-Analysis" (2018). Honors Theses. 524.
https://encompass.eku.edu/honors_theses/524